TJ class prep · Machine Learning · Coming soon

Machine Learning prep for TJ students

Machine Learning asks students to understand the math behind each model, not just call a library. This course will connect the math to working Python code.

Who it is for

TJ students taking Machine Learning 1 or 2.

Usually taken in 12th grade.

What the course will include

  • Lessons on topics such as classification, regression, model evaluation, neural networks, and reinforcement learning.
  • Coding exercises and concept questions that build models from the ground up.
  • Complete solutions for every exercise, with the code explained line by line where it matters.
  • Short math refreshers on the calculus and linear algebra each model depends on.

It is built the same way as our AP Precalculus course, which is open now: every problem is original, and every solution shows each step. Tuition will be announced when the course opens.

Coming soon

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